In recent years, numerous methodologies have been proposed for the
correction of motion, eddy-currents and echo planar imaging (EPI)
distortions for diffusion MRI data. The typical strategy to assess
the quality of these corrections is to compare them to an undistorted
image, such as a T1-weighted or T2-weighted structural image,
with
different
quality measures such as outlines, similarity metrics or
segmentation overlaps. Even though several of these measures are
quantitative, the use of wide range of validation strategies in combination with data with
significantly different distortion properties complicates a direct
comparison of these techniques. In this work, we propose a
quantitative, unbiased and robust strategy to evaluate the performances
of these correction techniques and provide a publicly available benchmarking
dataset.

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